Are you looking for a way to filter bad words from texts? Do it by using this machine learning API!
The use of profanity in public settings, such as in social media, is becoming more prevalent. This is due to the fact that people are becoming more and more comfortable sharing their thoughts and feelings online. But not everyone is comfortable reading or hearing these words. For this reason, many people use profanity filters to prevent offensive language from appearing on their social media feeds.
Profanity filters are software programs that detect and censor offensive words. These filters are commonly used on social media platforms, such as Twitter and Facebook, to prevent users from posting offensive content. Profanity filters can be used for both commercial and personal purposes. For example, a person may use a profanity filter to censor their own blog posts or tweets, or a company may use a profanity filter to prevent employees from posting offensive content at work.
Profanity filters can be used to censor any type of published text, including emails, blog posts, and social media posts. These filters typically work by identifying words that are known to be offensive. Then they either replace the word with another character or blank out the word altogether. But how does a program know which words are offensive?
That’s where machine learning comes in. Machine learning is a type of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. In this case, the computer learns which words are offensive by analyzing large amounts of text data that has already been labeled as offensive. A machine learning filter can detect and remove profane words from your text without the need for human intervention.
Fortunately, there are many tools that can be used as filters. We recommend using an API such as Bad Words Filter API. This is a piece of software that scans text for any offensive words and then replaces them with symbols. It’s easy to use and it works great! So if you need a way to filter out bad words, you should give the Bad Words Filter API a try.
Take Control Of Your Content With A Machine Learning Bad Words Filter
To get started, simply register an account on the Zyla API Hub website. Once you have done this, you’ll receive an API key which you can use to make API calls to any API available on the Zyla API Hub. Then, authenticate your API key by including your bearer token in the Authorization header.
Finally, make an API call to the with the text you want cleaned as a parameter. The Bad Words Filter API will then make an analysis of the text and return any offensive words that it finds in its response. So once you have made your API call, just wait for a few seconds and see how this amazing API works!
To make use of it, you must first:
1- Go to Bad Words Filter API and simply click on the button “Subscribe” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.
